Liu Jun, Yu Yi, Lu Qiqi, Zhang Shan-Qiang, Li Ji-Cheng
Major Disease Biomarker Research Laboratory School of Basic Medical Science Henan University Kaifeng China.
Institute of Cell Biology Zhejiang University Hangzhou China.
MedComm (2020). 2025 Jul 27;6(8):e70303. doi: 10.1002/mco2.70303. eCollection 2025 Aug.
Metabolic disorders play a crucial role in the occurrence of acute myocardial infarction (AMI). The objective of this research was to elucidate the characteristic metabolic profile of AMI and provide potential biomarkers for AMI. This study employed a targeted metabolomics approach utilizing the Ultra Performance Liquid Chromatography Tandem Mass Spectrometry (UPLC-MS/MS) system to identify both hydrophilic and hydrophobic metabolites present in plasma samples. Among 1498 detected metabolites, 78 were the most significantly expressed in the AMI group. Functional synergy analysis showed prominent enrichment in the pathways of steroid hormone biosynthesis, biosynthesis of unsaturated fatty acids, bile secretion, and ABC transporters. The metabolites 2-Hydroxy-6-Aminopurine, 17α-Hydroxyprogesterone, and -(methyl) glutathione have been identified as potential metabolic biomarkers linked to the pathogenesis of AMI. The diagnostic model that integrates these three metabolites exhibited exceptional performance in both the discovery and validation cohorts, attaining an area under the curve (AUC) value greater than 0.9. In addition, based on the follow-up data, we also found that the three metabolites were potential predictive biomarkers for poor prognosis of AMI. This study delineated the characteristic metabolic profile of AMI and assessed the value of metabolic molecules in the diagnosis and prognosis of AMI. This may provide insights for understanding the AMI occurrence and progression.
代谢紊乱在急性心肌梗死（AMI）的发生中起着关键作用。本研究的目的是阐明AMI的特征性代谢谱，并为AMI提供潜在的生物标志物。本研究采用靶向代谢组学方法，利用超高效液相色谱串联质谱（UPLC-MS/MS）系统来鉴定血浆样本中存在的亲水性和疏水性代谢物。在检测到的1498种代谢物中，有78种在AMI组中表达最为显著。功能协同分析显示，在类固醇激素生物合成、不饱和脂肪酸生物合成、胆汁分泌和ABC转运蛋白等途径中显著富集。已将代谢物2-羟基-6-氨基嘌呤、17α-羟基孕酮和（甲基）谷胱甘肽鉴定为与AMI发病机制相关的潜在代谢生物标志物。整合这三种代谢物的诊断模型在发现队列和验证队列中均表现出卓越的性能，曲线下面积（AUC）值大于0.9。此外，基于随访数据，我们还发现这三种代谢物是AMI预后不良的潜在预测生物标志物。本研究描绘了AMI的特征性代谢谱，并评估了代谢分子在AMI诊断和预后中的价值。这可能为理解AMI的发生和发展提供见解。
